Analysis of Big Data with Tall Arrays

Analyze out-of-memory data

Statistics and Machine Learning Toolbox™ contains a variety of functions that work with tall arrays. Tall
arrays provide a convenient way to work with data that does not fit in memory, that
is, the sample size can be arbitrarily large. To create a tall array, first create a
datastore that references the data, and then use the tall
function to convert the datastore into a tall array. For more information about tall
arrays in MATLAB®, see Tall Arrays (MATLAB). For a list of
supported statistics functions, see Function List (Tall Arrays).

If you have Parallel
Computing Toolbox™, then the use of parallel
computing can speed up certain statistical computations with tall
arrays. To use parallel computing with tall arrays, see Extend Tall Arrays with Other Products (MATLAB).

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